AC 2011-1434: EPISODES AS A DISCOURSE ANALYSIS FRAMEWORKTO EXAMINE FEEDBACK IN AN INDUSTRIALLY SITUATED VIRTUALLABORATORY PROJECTDebra Gilbuena, Oregon State University Debra Gilbuena is a doctoral student in Chemical Engineering at Oregon State University. She currently has research focused on student learning in virtual laboratories. Debra has an MBA and MS as well as 4 years of industrial experience including a position in sensor development, an area in which she holds a patent. Debra was awarded the Teacher’s Assistant of the Year Award by the College of Engineering at Oregon State University for her work as a Teacher’s Assistant.Ben Uriel Sherrett, Oregon State University Ben is studying the engineering design
has an extensive record of research in magnetic materials with a Ph.D. in Solid State Physics and a M.Sc. (Eng.) degree in Engineering Physics from Uppsala University. Presently he is chairman of the SEFI Working Group on Engineering Education Research (WG-EER) and co-ordinator for the Nordic Network for Engineering Education Research (NNEER) funded by the Nordic Council. Page 22.973.1 c American Society for Engineering Education, 2011 Investigating student learning in two active learning labs- Not all “active” learning laboratories result in conceptual understanding
. His research focus is on biology education including the use of inquiry and tech- nology in the teaching introductory biology lecture and laboratories. He has published articles on the impact of teaching in reformed courses on graduate students.YoonJung Cho, Oklahoma State University Assistant professor in the School of Applied Health and Educational Psychology at Oklahoma State Uni- versity. Her research is focused on students’ achievement motivation and self-regulated learning process as well as teachers’ motivation and its impact on instructional practices, both in traditional classroom setting and online instruction. She published articles on graduate teaching assistants’ professional devel- opment as well as
American Society for Engineering Education, 2011 An Active Learning Environment for Enriching Mathematical, Conceptual and Problem-Solving CompetenciesAbstractClass projects involving problem-solving case studies are an effective way to develop andimplement an active learning environment. A term class project was initiated as part of aStrength of Materials course. The project included the creation of a laboratory setup and session,lecture sessions, tests, problem-solving case studies, presentations, and reports. Active learningprojects that engage students in structured course activities benefit students more than traditionallecture-based approach because students learn to construct their own version of knowledge
Engineering project investigating persistence of women in engineering undergraduate programs. Dr. Lord’s industrial experience includes AT&T Bell Laboratories, General Motors Laboratories, NASA Goddard Space Flight Center, and SPAWAR Systems Center. She served as the President of the IEEE Education Society in 2009 and 2010.Candice Stefanou, Bucknell University Candice is an Associate Professor of Education at Bucknell University. Her teaching interests are in applied measurement and assessment and educational psychology. Her research interests are in motivation and classroom environments.Dr. Michael J. Prince, Bucknell UniversityJohn Chen, California Polytechnic State University John Chen is an Associate Professor
NSF-funded S-STEM program at UCF entitled the ”Young Entrepreneur and Scholar(YES) Scholarship Program” as well as the NSF-funded STEP program entitled ”EXCEL:UCF- STEP Pathways to STEM: From Promise to Prominence.” Dr. Georgiopoulos’ research interests lie in the areas of machine learning, neural networks, pattern recognition and applications in signal/image pro- cessing, communications, medical field, manufacturing, transportation engineering, amongst others. Dr. Georgiopoulos is a Director of the Machine Learning Laboratory at UCF.Cynthia Y. Young, University of Central Florida Dr. Cynthia Y. Young is a Professor of Mathematics at the University of Central Florida where she holds a secondary joint appointment in
expertise in design and innovation, the impact and diffusion of education innovations, and teaching approaches of engineering faculty. Dr. McKenna received her B.S. and M.S. degrees in Mechanical Engineering from Drexel University and Ph.D. from the University of California at Berkeley.Russell Pimmel, National Science Foundation Russell Pimmel is the lead Program Director for the Course, Curriculum and Laboratory Improvement (CCLI) Program and also is involved in the Advanced Technology Education (ATE) Program, and the Science, Technology, Engineering, and Mathematics Talent Expansion (STEP) Program. He also works on the Stem Talent Enhancement Program (STEP) and the Advanced Technology (ATE) Program. He joined NSF
Physics webpage; http://physics.dickinson.edu/~abp_web/abp_homepage.html, accessed10/12/10Bernhard, Jonte. Improving Engineering Physics Teaching - Learning From Physics Education Research.In Physics Teaching in Engineering Education. 2000. Budapest.Bransford, J., Brown, A., and Cocking, R. 2000 How People Learn: Brain, Mind, Experience and School.Washington, D.C.: Commission on Behavioral and Social Science and Education, National ResearchCouncil.Carlton, K. (2000), 'Teaching about heat and temperature', Physics Education, 35 (2), 101.Chi, M. T. H. Commonsense Conceptions of Emergent Processes: Why Some Misconceptions AreRobust. Journal of the Learning Sciences, 2005. 14. 161-99.Chi, M. T. H. (2006). Laboratory methods for assessing experts’ and
write-up/procedure that other students would follow about their module(with a 100% correct report attached by the team) and, finally, a detailed project report. At the endof the semester, the student groups would archive all of this electronically and send it to theinstructor as well (for the teams to use in the follow-on years). Detailed information was providedto the students on the syllabus as to why this activity was occurring. This has been repeated below: While there is an increasing movement towards "hands-on" learning, especially in engineering, such an approach is mainly focused on modified laboratory experiences and/or out-of-classroom experiences. However, most of the contact hours in a curriculum
school students’essays in which the subjects described their image of a scientist. They found that the typicalAmerican high school student had a stereotypical notion of what a scientist looks like anddoes at work. They described this shared image from the national sample as: The scientist is a man who wears a white coat and works in a laboratory. He is elderly or middle aged and wears glasses. He is small, sometimes small and stout, or tall and thin. He may be bald. He may wear a beard, may be unshaven and unkempt.…He is surrounded by equipment: test tubes, Bunsen burners, flasks, and bottles…He spends his days doing experiments…He experiments with plants and animals, cutting them apart
videowas the thermodynamics of elastomers and the video for this stage is yet in production. The coreelement of this material is the recording of a laboratory experiment that produces a³FRXQWHULQWXLWLYH´RXWSXW. For the first task, the video of the experiment stops short of showingthe result and students have to predict that result and provide an explanation associated with theirprediction. Then the video shows the actual results and students move to an application of thedescribed phenomenon and asked to solve it with a minimal support from the instructor. Page 22.891.6Instructional Materials for the Raw VideoWith the purpose of the video
information10. More recently, a study has reported how the most successfulinnovators practice and develop specific “discovery skills” that distinguish them from others11.The experts interviewed for this study included recognized innovators and effective innovationmanagers from a variety of disciplines and industries, including materials, biomedical products,computers, and banking. Their innovation expertise was gained and demonstrated in multipleenvironments ranging from academic laboratories to start-up companies and large corporations.Experts also included knowledgeable educators and scholars of innovation from academia. Allinterview subjects expressed interest in innovation education as well as practicing innovation,and half (five) of the interviews
success models in engineering, global engineering education, teamwork and team effectiveness, and production systems control and optimization. He worked as a production control engineer in Taiwan, and has taught laboratory classes in manufacturing engineering and freshmen engi- neering in the U.S. He earned his Bachelor and Master degrees in Industrial Engineering from National Tsing Hua University (Taiwan) and Purdue University (U.S.A). His ultimate career goal is to help cul- tivate world-class engineering graduates that can compete globally, as well as collaborate with the best engineers across different cultures.Xingyu Chen, Purdue University
projects, with an emphasis on planning and design alternatives to meet cost,performance, and user-interface goals. One of the course requirements is the completion of theconceptualization and initial development phases of an electronic device that accomplishes astudent-defined task or solves a student-defined problem. Student projects are taken tocompletion in two subsequent self-directed laboratory courses, Project Design and Development,Phase I and II. The students who volunteered to participate in the study (n=40) ranged in agefrom 21 to 35, and most were white, non-Hispanic males from within the state, with nearly halfof them starting as freshman in the ECET program. The cohort included 1 female, 3 African-Americans, 3 Hispanics and 1
), 339.2. Heller, R. S., Beil, C., Dam, K., & Haerum, B. (2010). Student and Faculty Perceptions of Engagement in Engineering. Journal of Engineering Education, 99(3), 253-261.3. Lin, C., & Tsai, C. (2009). The relationship between students' conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98, 193- 204.4. Prince, M
student acquisition of data in physics learning cycles. J. Res.Sci. Teach. 1985, 22 (4), 303-25.22. Hall, D. A.; McCurdy, D. W., A comparison of a biological sciences curriculum study (bscs) laboratory anda traditional laboratory on student achievement at two private liberal arts colleges. J. Res. Sci. Teach. 1990, 27 (7),625-36.23. Renner, J. W.; Paske, W. C., Comparing two forms of instruction in college physics. American Journal ofPhysics 1977, 45 (9), 851-859.24. Spencer, J. N., New directions in teaching chemistry: A philosophical and pedagogical basis. J. Chem.Educ. 1999, 76 (4), 566-569.25. Hanson, D.; Wolfskill, T., Process workshops - a new model for instruction. J. Chem. Educ. 2000, 77 (1),120-130.26
industry.James C. Squire, Virginia Military Institute James Squire is a Professor of Electrical Engineering at the Virginia Military Institute. He received a B.S. in Electrical Engineering from the United States Military Academy in West Point, NY and served in the army as a Military Intelligence officer during Desert Storm. Although his PhD is in electrical engineering, he completed his doctoral work in a biomedical engineering laboratory at MIT and has interests in analog and digital instrumentation, signal processing, biomechanics, patent litigation, and cardiology. At VMI he teaches analog electronics, continuous time and discrete time signal processing, and advises a variety of independent study projects.George M. Brooke
development and humancomputer interaction research.Alice Merner Agogino, University of California, Berkeley Alice M. Agogino is the Roscoe and Elizabeth Hughes Professor of Mechanical Engineering and affli- ated faculty at the Haas School of Business in their Operations and Information Technology Management Group. She directs the Berkeley Expert Systems Technology /Berkeley Energy and Sustainable Technolo- gies (BEST) Laboratories, the Berkeley Instructional Technology Studio (BITS) and is working to develop a Service Learning Media Lab and Design/Prototyping Studio in the new CITRIS building. She served as Chair of the Berkeley Division of the Academic Senate in 2005-06, having served as Vice Chair during the 2004-05
. Basic and Applied Social Psychology, 30, 208-218.11. Spade, J. Z., Columba, L., & Vanfossen, B. E. (2007). Tracking in mathematics and science: Courses and course selection procedures. In J. H. Ballantine & J. Z. Spade, Eds. In Schools and society: A sociological approach to education, (3rd ed.), pp. 286-297. Thousand Oaks, CA: Sage.12. Larimore, J.A., & McClellan, G.S. (2005). Native American student retention in U.S. postsecondary education. New Directions for Student Services, 109, 17-32.13. Nelson-Barber, S., & Estrin, E.T., (1995). Culturally responsive mathematics and science education for Native American students. San Francisco, CA: Far West Laboratory for Educational Research and Development.14. Jacobs, J
engineering concepts to solve problems Engr B 3.5 Ability to design an experiment to obtain measurements or gain additional Exp knowledge about a process B 3.6 Ability to analyze and interpret engineering data Data C 3.7 Ability to design a device or process to meet a stated need Design D 3.8 Ability to function effectively in different team roles Team E 3.9 Ability to formulate and solve engineering problems PS K 3.10 Ability to use laboratory procedures and equipment Equip K 3.11 Ability to use software
26. learning styles accreditation 27. sustainability women in engineering 28. learning faculty development 29. experiential learning distance education 30. performance cooperative learning 31. curriculum undergraduate research 32. engineering education research technology 33. virtual laboratories programming 34. problem based learning experiential learning 35. problem solving
, within engineering we know little about how studentsapproach open-book testing, particularly with regard to how they spend their time on differenttasks and how this division of time may affect performance.The study in this paper examined the testing behavior of 8 senior materials science andengineering students at a large public university in the southeastern US. Students completed fourengineering problems during individual laboratory sessions while engaged in a think-aloudprocedure (i.e., verbally explaining their thought processes as they worked through theproblems). The problems were designed to vary in terms of their closed or open-endedness andthe number of decision points involved in their solution. Students’ think-aloud protocols
cover. She is an active men- tor of undergraduate researchers and served as co-PI on an NSF REU site. Research within her Medical micro-Device Engineering Research Laboratory (M.D. ERL) also inspires the development of Desktop Experiment Modules (DEMos) for use in chemical engineering classrooms or as outreach activities in area schools. Adrienne has been an active member of ASEE’s WIED, ChED, and NEE leadership teams since 2003.Jason M. Keith, Michigan Technological University Jason Keith is an Associate Professor of Chemical Engineering at Michigan Technological University. He received his B.S.ChE from the University of Akron in 1995, and his Ph.D from the University of Notre Dame in 2001. He is the 2008
program is toenable students to work on interdisciplinary engineering projects requiring an understanding ofelectrical and computer design and systems analysis. Over the course of three years in theprogram, students are required to complete coursework in both the SE and ECE departments,including two joint laboratory courses in the third year and a team-based, interdisciplinarycapstone project in the fourth year.Participants for this study were second-year engineering students within the SE and ECEdepartments. Data for this study was collected between October 2009 and March 2010, focusingon the first cohort of LEP students and their non-LEP counterparts. The first cohort to begin thisprogram started in the fall of 2009 with 14 students. Of those
University of Wisconsin - Madison, and a faculty fel- low at the Wisconsin Center for Education Research (WCER) and the Center on Education and Work. Dr. Nathan studies the cognitive, embodied, and social processes involved in STEM reasoning, learn- ing and teaching, especially in mathematics and engineering classrooms and in laboratory settings, using both quantitative and qualitative research methods. Dr. Nathan has secured over $20M in external re- search funds and has over 80 peer-reviewed publications in education and Learning Sciences research, as well as over 100 scholarly presentations to US and international audiences. He is Principal Investiga- tor or co-Principal Investigator of 5 active grants from NSF and the
) Page 22.1675.15 2005 2006 2007 2008 2009 Tag c Tag c Tag c Tag c Tag c assessment 114 simulation 77.5 concept 71.5 how people learn 53.5 survey 58 engagement 50 retention 74 knowledge 66 concept 51 discipline 53.5 laboratory 50 ethics 62 teamwork 55 active learning 44 teamwork 48.5 skill 48 survey 59 ethnography 53.7 design 39 women 47 experiment 47.5 model 48.5
period. The MEA was launched in the laboratory setting which was facilitated by twoGTAs supported by four undergraduate assistants. Student teams of 3-4 students developedDRAFT 1 of their memo with procedure and results. This draft entered a double-blind peerreview process. In preparation for the peer review, students participated in a calibration exercisein which they practiced giving feedback on one prototypical piece of student work using theMEA Rubric, were provided an expert‟s review of that student work, and reflected on what theyneeded to do differently to improve their ability to give a peer review. For the actual peerreview, each student reviewed one other team‟s solution to the MEA. Each team was assigned atleast 3 peer reviewers. Each